文献
J-GLOBAL ID:201802285284149140
整理番号:18A0440361
特徴理論にヒントを得たジョージア地方における低リソース音声キーワード検索戦略【Powered by NICT】
Low-resource spoken keyword search strategies in georgian inspired by distinctive feature theory
著者 (13件):
Chen Nancy F.
(Institute for Infocomm Research, A*STAR, Singapore)
,
Lim Boon Pang
(Institute for Infocomm Research, A*STAR, Singapore)
,
Do Van Hai
(Advanced Digital Sciences Center, Singapore)
,
Pham Van Tung
(Nanyang Technological University, Singapore)
,
Ni Chongjia
(Institute for Infocomm Research, A*STAR, Singapore)
,
Xu Haihua
(Nanyang Technological University, Singapore)
,
HasegawaJohnson Mark
(Advanced Digital Sciences Center, Singapore)
,
Chen Wenda
(University of Illinois Urbana-Champaign, USA)
,
Xiao Xiong
(Nanyang Technological University, Singapore)
,
Sivadas Sunil
(Institute for Infocomm Research, A*STAR, Singapore)
,
Chng Eng Siong
(Nanyang Technological University, Singapore)
,
Ma Bin
(Institute for Infocomm Research, A*STAR, Singapore)
,
Li Haizhou
(Institute for Infocomm Research, A*STAR, Singapore)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
APSIPA ASC
ページ:
1322-1327
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)